Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary
Time-Series

Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series

4 February 2022

Sercan Ö. Arik

Nathanael Yoder

Tomas Pfister

Papers citing "Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series"

8 / 8 papers shown

Title
Incorporating Long-term Data in Training Short-term Traffic Prediction Model Xiannan Huang Shuhan Qiu Yan Cheng Quan Yuan Chao Yang AI4TS 30 0 0 16 Oct 2024
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift Luca Masserano Syama Sundar Rangapuram Shubham Kapoor Rajbir-Singh Nirwan Youngsuk Park Michael Bohlke-Schneider TTA AI4TS 28 2 0 23 Feb 2023
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 31 22 0 07 Oct 2022
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models Md. Khairul Islam Di Zhu Yingzheng Liu Andrej Erkelens Nick Daniello Judy Fox 25 1 0 06 Oct 2022
Earthquake Nowcasting with Deep Learning Geoffrey C. Fox John B. Rundle A. Donnellan Bo Feng AI4Cl AI4CE 29 6 0 18 Dec 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,876 0 14 Dec 2020
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 158 84 0 21 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017